SQUEEZENET：AlexNet-level Accuracy with 50X fewer parameters and 0.5MB model size
這是由UC Berkerley和Stanford研究人員一起完成的Squeezenet網絡結構和設計思想。SqueezeNet設計目標是在保持精度（Alexnet）的情況下簡化網絡的複雜度。 1、設計原則： 儘量選擇1*1卷積核來代替3*3卷積核，因爲1*1的卷積核比3*3的卷積核參數少了9倍。 減少3*3卷積核的輸入通道（input channels），因爲卷積核參數爲：（number of i
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相關文章
- 1. Squeezenet alexnet-level accuracy with 50x fewer parameters and less 0.5MB model size
- 2. 論文筆記 SQUEEZENET: ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND ＜0.5MB MODEL SIZE
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- 4. 論文筆記——SQUEEZENET ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND <0.5MB MODEL SIZE
- 5. 【論文閱讀】【ICLR 2017】SqueezeNet AlexNet-level accuracy with 50x fewer parameters and 0.5MB model size
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